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Renzym

Renzym

Renzym is a technology company which primarily deals in the design and development of smart phone apps, wireless communication and embedded systems.

Renzym

4 years ago

Renzym
Renzym is looking for suitable candidates for the FPGA/SoC Developer position at its Islamabad office.The candidate should be good in Verilog/VHDL RTL based FPGA design. Exposure to Xilinx Vivado based hardware design and C-language programming is a plus. The hired person will work on the implementation of IP blocks and their integration on SoC/FPGA devices. Interested candidates can send their CVs to jobs@renzym.com with job title in the email’s subject. Only short-listed candidates will be contacted. The hired persons will get an opportunity to learn and work on leading-edge technologies under the guidance of an experienced team. … See MoreSee Less
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Renzym

4 years ago

Renzym
Renzym is looking for a suitable candidate for the Algorithms Developer position at its Islamabad office.The candidate should have BS or MS degree with a good background in digital communication and signal processing. Hands-on implementation of algorithms in MATLAB is a plus. The hired person will work on communication and radar waveforms.Interested candidates can send their CVs to jobs@renzym.com with job title in the email’s subject. Only short-listed candidates will be contacted. The hired persons will get an opportunity to learn and work on leading-edge technologies under the guidance of an experienced team. … See MoreSee Less
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Renzym

4 years ago

Renzym
Renzym is looking for a suitable candidate for the position of Embedded Systems Software Developer at its Islamabad office.The candidate should be sound in C language programming and embedded systems concepts. Hands-on working on microcontrollers, DSP/FPGAs is a plus. The hired person will work on system-level embedded applications.Interested candidates can send their CVs to [Email hidden] with job title in the email’s subject. Only short-listed candidates will be contacted. The hired persons will get an opportunity to learn and work on leading-edge technologies under the guidance of an experienced team. … See MoreSee Less
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Renzym

4 years ago

Renzym
This video demonstrates a proof-of-concept wireless video link transmitting two Full HD (i.e. 1920×1080) videos in parallel. Video compression & the transmitter waveform is implemented on one FPGA, while the receiver waveform & the video decompression is implemented on the other FPGA. Being software-defined, the system is configurable e.g. number of video sources (and video resolution) can be increased/decreased to suit number of cameras and bandwidth requirements.Please share with people who might be interested in such a system.info@renzym.com | +92518356095 | www.renzym.com … See MoreSee Less

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Renzym

5 years ago

Renzym
Renzym is looking for suitable candidates for the following vacant positions at its Islamabad office. Interested candidates can send their CVs to jobs@renzym.com. Only short-listed candidates will be contacted.FPGA/SOC DESIGN ENGINEER————————————Responsibilities:Design modules and subsystems, code RTL in Verilog /VHDL, build system prototypes and/or technology demonstrators to explore new ideasMinimum qualifications:BS or MS, Experience in Xilinx Vivado/SDSoC or Intel Quartus, Experience Zynq/Microblaze based HW/SW mixed designFollowing qualifications will be a plus:2-4 years’ experience, C/C++, MATLAB/Simulink, Experience with commonly used FPGA IP cores (FFT, Error correction, Video Compression)ALGORITHMS DESIGN ENGINEER——————————————–Responsibilities:Implement application-specific algorithms for communications, radar and/or machine vision. Design and develop their MATLAB/Simulink system-level models and their documentationMinimum qualifications:BS or MS, Solid background in communication theory and digital signal processing, Strong coding and programming skills (MATLAB/Simulink, Python), Good written and verbal communications skillsSome of the following qualifications will be a plus to above:3-5 years’ experience, Exposure to radar signal processing and tracking algorithms, adaptive signal processing waveform synthesis, error correction codes, C/C++ coding and programming skills, Exposure to development in GNU RadioEMBEDDED SOFTWARE DESIGN ENGINEER———————————————————-Responsibilities:Design, create and maintain system-level applications comprising hardware, software, and documentation for our products. Write wrappers around commonly available open-source and proprietary toolsMinimum qualifications:BS, Solid background in C/C++, Python, MATLAB, Experience with SCM (SVN, Git), cross compiler and in-circuit debugging toolsSome of the following qualifications will be a plus to above:2-3 years’ experience, Experience in code conversion from MATLAB/Python to C/C++ and fixed-point implementation, in writing C-code (not C++) for DSPs, Microcontrollers, ARM processors … See MoreSee Less
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Renzym

7 years ago

Renzym
Chatter.pk – One App to follow your favorite political partyTired of irrelevant tweets/facebook posts? Follow your favorite political parties under one Android App. Election 2018 fever is starting.play.google.com/store/apps/details?id=com.renzym.electionsMore Apps from RenzymSCANX: A document scanner for iOSitunes.apple.com/us/app/scanx-pdf-document-scanner-with-ocr/id1123617187?mt=8Scan & Scribe: OCR App for Android and iOSAndroid: play.google.com/store/apps/details?id=com.renzym.scanscribeiOS: itunes.apple.com/us/app/scan-scribe/id1003178723?mt=8 … See MoreSee Less

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This test demonstrates electronic steering working. Beam is configured to be electronically steering from -30, -15, 0, 0, 15, 30 degrees. As plane moves past these directions it is detected in respective bins. Center two bins are both actually referring to 0 degrees in this test.
Phased Array Demo
ScanX: Document Scanner with OCR Key features: Auto-detection of documents, Scanning, Save and Share as Image or PDF, OCR in six major languages, Smart Editing showing original while you correct errors, Listen to extracted text
ScanX: Document Scanner with OCR
Renzym Real-Time Face Recognition Demonstration (Watch in HD for better results): Face Recognition code running on GPU to give real-time performance. Algorithm uses convolutional neural network (CNN) trained on Renzym Team Member's faces. There can be several applications such Office/Class Attendance, Automatic Door opening/closing for house members, Identifying Criminals from Surveillance setups (at traffic signals, airports) etc.
Face Recognition Demo
Software Save 70% time by using automatic form processing instead of processing manually. Our state of the art handwritten character recognition engine automates Data Entry process. There can be many use cases e.g. courier services, hajj application processing, census forms processing etc. www.renzym.com
Automatic form processing demo
http://www.renzym.com/renzym-products/sdr-communication-kit.html SDR communication kit (SCK) is a USB based plug and play device, designed for organizations and communication labs involved in the study, research and development of communication systems especially software defined radios. It can be used to readily build real-time communication systems by directly applying the concepts learnt from theory with a minimum of implementation effort in the hardware. One of its main advantages is that it provides direct interface, through USB port, with powerful simulation and analysis tools like Matlab/Simulink, Lab-View, GNU Radio etc. Computational and visualization capabilities offered by these tools can be used to design and analyze communication systems directly from simulations. This blending of theory and practice makes SCK an ideal candidate for analog/digital communication labs because this aspect is generally missing from most of the communication courses. Theoretical performance of various techniques can now be quickly compared with their performance in a real-world environment. Furthermore it provides a unique opportunity to the researchers working on receiver design to verify their algorithms in various practical scenarios.
SDR Communication Kit
Tired of irrelevant tweets/facebook posts, follow your favorite political parties under one Android App. Election fever is starting. https://play.google.com/store/apps/details?id=com.renzym.elections
Chatter.pk: Election fever is ON
Scan & Scribe can convert your Handwritten and Printed Documents, Scribbled Notes, Whiteboard Brain Storming Sessions into Editable text that you can Copy, Save, Listen or Share. Its standout feature is its separate offline text recognition engines for Handwritten and Printed texts. App Link: https://itunes.apple.com/us/app/scan-scribe/id1003178723?mt=8
Scan & Scribe iOS App – Promo Video
Scan & Scribe can convert your Handwritten and Printed Documents, Scribbled Notes, Whiteboard Brain Storming Sessions into Editable text that you can Copy, Save, Listen or Share. Its standout feature is its separate offline text recognition engines for Handwritten and Printed texts. App Link: https://play.google.com/store/apps/details?id=com.renzym.scanscribe
Scan & Scribe Android App – Promo Video
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#imaginarynumber #complexnumbers #eular English version: https://youtu.be/OkQdJBpflr8 In this video I tried to simplify understanding of complex numbers, imaginary numbers and Eular's formula. Slides and matlab/octave code for plots: https://tinyurl.com/cmplxnos Some useful links I mentioned in talk Real Imaginative Guide to Complex Numbers: https://wirelesspi.com/a-real-imaginative-guide-to-complex-numbers/ A Quadrature Signals Tutorial: https://www.dsprelated.com/showarticle/192.php Welch Labs - Imaginary numbers are real: https://www.youtube.com/watch?v=T647CGsuOVU&list=PLiaHhY2iBX9g6KIvZ_703G3KJXapKkNaF 3Blue1Brown - Taylor Series: https://www.youtube.com/watch?v=3d6DsjIBzJ4 How imaginary numbers were invented: https://www.youtube.com/watch?v=cUzklzVXJwo SUBSCRIBE! Also Enable Notifications by clicking bell button on channel page https://www.youtube.com/c/RenzymEducation?sub_confirmation=1 CONTENT (0:00) Complex numbers review: Addition, Multiplication (12:58) Why iota i.e. sqrt(-1) makes sense as 90 degree rotation (15:26) Intuitive proof of Euler's formula (29:25) Bonus - Further intuition behind the proof
Complex numbers tutorial [Urdu/Hindi]
#computerarchitecture #riscv Reference: Most of lecture material is derived from freely available course i.e. UC Berkeley course CS 152 https://inst.eecs.berkeley.edu/~cs152/sp12/ Single Cycle Processor (0:00) Intro (4:18) A simple processor design (22:47) RISC-V single cycle processor design Pipelining and branch prediction (1:00:00) Pipeline intro and critical path (1:09:42) Pipelining single cycle RISC-V (1:17:30) Hazards: Structural, Data & Control Hazards (1:22:33) Interocks / Stalls (1:44:06) Bypassing / Forwarding (1:51:48) Iron Law of processor performance (2:00:47) Control Hazards (2:03:18) Speculate PC+4 (2:09:54) Branch delay slots (2:15:59) Branch History Table (BHT), Branch Target Buffer (BTB) (2:49:59) Subroutine return stack (2:52:40) Interrupts Memory - Caches and VM (3:08:19) Memories overview, SRAM, DRAM (3:21:41) Cache intro. Multilevel Memory (3:38:25) Placement policy: Directly mapped, Set associative,Fully associative (3:53:00) Replacement policy, Least recently used, Random, FIFO, NLRU (3:56:50) Block size, Cache Performance (4:05:40) Write policy, Pipelined cache write, Write buffer, RAM-TAG cache (4:15:34) Multi-level cache, Inclusion policy (4:20:38) Examples Itanium-2, IBM Power 7, z196 (4:25:03) Victim Cache, Way prediction, Early restart, Non-Blocking Cache (4:31:27) Pre-fetching and Compiler Optimizations Virtual Memory System (4:46:50) Base and Bound Scheme (4:57:48) Fragmentation and Paged Memory System (5:09:27) Page table size and two level page table (5:20:13) TLB, Demand paging, Aliasing (5:45:44) Hashed page table Complex Pipelines, Superscalar, Scoreboard (5:52:20) Complex Pipelines motivation, FPUs, Memory subsytem (6:03:00) Complex In order pipeline (6:06:50) Data Hazards (RAW, WAR, WAW) (6:14:45) Scoreboard and Out of order completion (6:35:36) Tomasulo: Out of order issue and Register renaming (6:56:09) Exception and Branch issues, In order Commit (7:07:32) Unified Physical Register file (7:28:26) Memory dependencies VLIW, Loop unrolling, Software pipelining (7:41:29) Superscalar control logic scaling (7:44:23) VLIW - Very Long Instruction Word (7:48:39) Loop Unrolling & Software pipelining (8:02:02) Trace scheduling (8:10:07) Predicated execution (8:12:00) Speculative execution Multithreading, coarse and fine grained (8:14:52) Multi processing, Multi tasking, ILP and TLP (8:22:06) Fine grained multithreading (8:33:20) Coarse grained multithreading (8:39:11) Simultaneous Multithreading Vector Processors (8:51:59) Supercomputers and CDC 6600 by Seymour Cray (9:00:40) Vector Processors (9:17:50) Stripmining, Mask registers, Reductions, Scatter/Gather (9:42:40) Multimedia extensions, SIMD Synchronization and Sequential consistency (9:44:34) Symmetric Multiprocessors, Synchronization, Producer/Consumer, Mutex/Locks (10:00:30) Sequential Consistency (10:08:24) Memory Fences, Membar, Locks, Critical Section, Atomic Operations (10:15:57) Dekker's algorithm, Lamport's Bakery algorithm (10:27:45) Semaphores, Atomic Read-Modify-Writes, Test&Set, Fetch&Add, Swap (10:38:16) Non blocking Synchronization, Compare&Swap, Load Reserve & Store Conditionals Snoopy Cache, Cache Coherence (10:48:43) Sequential consistency issues, Cache coherence and Snoopy Cache (11:00:58) Snoopy cache for Multicore systems, MSI Protocol and MESI Protocol (11:22:27) Directory based cache
Computer Architecture Crash Course [Urdu/Hind]
#processor #verilog #computerarchitecture #processordesign A processor 101 intro. Gives a basic idea of assembly language, machine code and processor design from scratch. Processor code: https://github.com/yasir-javed/simple_processor Urdu video: https://www.youtube.com/watch?v=Pkq9S6vCsm0 Verilog video: https://www.youtube.com/watch?v=nblGw37Fv8A iverilog installation: https://www.youtube.com/watch?v=Y0bNVStZok4 BRAM video: https://www.youtube.com/watch?v=bJ0smcbfCY0 RISC-V Assembly book: https://github.com/johnwinans/rvalp SUBSCRIBE! Also Enable Notifications by clicking bell button on channel page https://www.youtube.com/c/RenzymEducation?sub_confirmation=1 CONTENT (0:00) Intro (0:55) Building blocks and Verilog (8:44) How processor works (10:59) Instruction set (15:33) Processor hardware design (23:14) Verilog code (27:48) Processor code and demo (35:05) Making processor fancy (43:08) RISC-V instruction set
Processor design for dummies [English]
#python #pythontutorial #numpy #machinelearning #jupyternotebook Python quick tutorial, covers python basics in first 1.5 hrs. Numpy, plotting and working with images and files in next 1 hour Machine learning in 5 Hrs: https://www.youtube.com/watch?v=HGYWEOiQgWM Stanford Python tutorial link (cs231n): https://cs231n.github.io/python-numpy-tutorial/ Google Colab intro: https://www.youtube.com/watch?v=inN8seMm7UI SUBSCRIBE! Also Enable Notifications by clicking bell button on channel page https://www.youtube.com/c/RenzymEducation?sub_confirmation=1 (0:00) Interpreted vs Compiled languages (1:30) Ubuntu/WSL example (8:10) Spyder/Anaconda example (10:51) Jupyter Notebook overview (19:53) Programming languages overview (32:00) Google colab intro (38:17) Python/Jupyter tutorial (43:00) Data types and operations, int, bool, string (53:54) Lists (57:16) Slicing (1:01:13) For Loops (1:04:59) List comprehensions (1:07:43) Dictionaries (1:17:12) Sets (1:22:42) Tuples (1:29:28) Functions and if/else (1:35:05) Classes (1:39:13) Numpy (1:49:22) Numpy Array indexing (2:05:30) Numpy Array maths (2:12:48) Broadcasting (2:19:28) Plotting: Matplotlib (2:24:13) Read/Display Images (2:26:42) Reading/Writing text files (2:29:13) Modules
Python/Numpy/Jupyter in 2 hrs [Urdu/Hindi]
#machinelearning #neuralnetworks #convolutionalneuralnetwork I have tried to sum up complete Machine Learning course in 5 hours in this video. In addition to topics covered in original famous Andrew Ng's Coursera course (Linear and Logistic Regression, Regularization, Neural networks, SVMs, Clustering, PCA, Recommender systems, Decision Trees) we also covered CNNs (Convolutional Neural Networks) which is part of Deep learning specialization course. A 30 lectures course becomes too big a commitment for most people. Now you can go through this shorter course instead of and fall back on specific videos if some topic is unclear, the link to course playlist is: https://www.youtube.com/watch?v=qUILAy-I204&list=PLoVsjlwzzlUT74osi5McUu7H80L6X6nzB Course Material (Slides/Assignments): https://tinyurl.com/ml-renzym Python tutorial (for doing Assignments): https://www.youtube.com/watch?v=RtHUEaF4hi8 SUBSCRIBE! Also Enable Notifications by clicking bell button on channel page https://www.youtube.com/c/RenzymEducation?sub_confirmation=1 Topics timeline: (0:00) Machine learning intro (1:58) Intro: Supervised Learning (5:02) Intro: Unsupervised learning (6:33) Linear regression: Model representation (16:24) Linear regression: Cost function (23:47) Gradient descent (32:57) Briefest overview of matrices (35:07) Multiple features (42:06) Feature scaling, Mean normalization (46:53) Learning rate (49:27) Polynomial regression (53:23) Normal equation (59:22) Logistic regression/Classification (1:14:30) Multi-class classification (1:17:20) Regularization: Problem of overfitting (1:26:33) Non-linear hypothesis (1:30:22) Neurons and Model representation (1:44:19) Multi-classclassification (1:45:43) Neural network Cost function (1:47:36) Back propagation (1:59:31) Gradient checking, random initialization (2:04:48) Machine learning advice: Deciding what to do next (2:06:51) Evaluating a hypothsis (2:08:56) Model selection and training/validation/test sets (2:11:00) Diagnosing bias vs variance, Regulrization (2:14:51) Learning curves (2:18:31) Spam classification example (2:23:35) Error Analysis (2:29:22) Error metric for skewed classes, precision, recall, F-score (2:34:31) Data for machine learning (2:36:15) Fashion MNIST Tensor Flow example (2:40:14) SVM - Support vector machines (2:44:20) SVM: Maths behind large margin classifier (2:51:34) SVM: Kernels (3:04:11) Clustering (3:10:50) Dimensionality reduction: Principale Component Analysis PCA (3:26:22) Anomaly Detection (3:46:30) Recommender Systems (3:58:49) Large datasets, Stochastic/Mini-batch gradient descent, Map-reduce (4:07:20) OCR example, Sliding window, Ceiling analysis (4:17:49) Decision trees, Tree ensembles, Random Forests (4:36:09) Convolutional Neural Networks CNNs (4:45:20) CNN case studeies: LeNet-5, AlexNet, VGG-16, Resnet, Inception (4:52:40) Object Detection and Yolo quick overview (4:57:24) Face recognition/verification,
Machine Learning in 5 hrs [Urdu/Hindi]
(0:00) SVM: Maths behind large margin classifier (5:31) SVM: Kernels (18:13) Clustering (24:53) Dimensionality reduction: Principale Component Analysis PCA (40:26) Anomaly Detection (1:00:30) Recommender Systems (1:13:35) Large datasets, Stochastic/Mini-batch gradient descent, Map-reduce (1:22:07) OCR example, Sliding window, Ceiling analysis (1:32:35) Decision trees, Tree ensembles, Random Forests (1:50:55) Convolutional Neural Networks CNNs (2:00:07) CNN case studeies: LeNet-5, AlexNet, VGG-16, Resnet, Inception (2:07:15) Object Detection and Yolo quick overview (2:12:11) Face recognition/verification, Complete playlist: https://www.youtube.com/watch?v=qUILAy-I204&list=PLoVsjlwzzlUT74osi5McUu7H80L6X6nzB Course Material (Slides/Assignments): https://tinyurl.com/ml-renzym SUBSCRIBE! Also Enable Notifications by clicking bell button on channel page https://www.youtube.com/c/RenzymEducation?sub_confirmation=1
Course Review 3/3, SVM, Clustering,PCA, Anomaly, Recommender,CNNs, Machine Learning Lec 30/30 [Urdu]
(0:00) Non-linear hypothesis (4:21) Neurons and Model representation (18:17) Multi-classclassification (19:44) Neural network Cost function (21:54) Back propagation (33:30) Gradient checking, random initialization (38:48) Machine learning advice (40:50) Evaluating a hypothsis (42:53) Model selection and training/validation/test sets (45:00) Diagnosing bias vs variance, Regulrization (48:51) Learning curves (53:29) Spam classification example (57:38) Error Analysis (1:03:22) Error metric for skewed classes, precision, recall, F-score (1:08:31) Data for machine learning (1:10:13) Fashion MNIST Tensor Flow example (1:14:13) SVM - Support vector machines (1:18:17) Math behind large margin classifier Complete playlist: https://www.youtube.com/watch?v=qUILAy-I204&list=PLoVsjlwzzlUT74osi5McUu7H80L6X6nzB Course Material (Slides/Assignments): https://tinyurl.com/ml-renzym SUBSCRIBE! Also Enable Notifications by clicking bell button on channel page https://www.youtube.com/c/RenzymEducation?sub_confirmation=1
Course Review 2/3, Neural networks, Error Analysis, F-score, SVM, Machine Learning Lec 29/30 [Urdu]
(0:00) What is machine learning (1:58) Supervised Learning (6:33) Model representation (24:07) Gradient descent (33:18) Briefest overview of matrices (35:28) Multiple features (42:22) Feature scaling, Mean normalization (47:06) Learning rate (49:51) Polynomial regression (53:43) Normal equation (59:42) Logistic regression/Classification (1:15:03) Multi-class classification (1:17:40) Regularization: Problem of overfitting Complete playlist: https://www.youtube.com/watch?v=qUILAy-I204&list=PLoVsjlwzzlUT74osi5McUu7H80L6X6nzB Course Material (Slides/Assignments): https://tinyurl.com/ml-renzym SUBSCRIBE! Also Enable Notifications by clicking bell button on channel page https://www.youtube.com/c/RenzymEducation?sub_confirmation=1
Course Review 1/3, Linear and Logistic regression, Regularization, Machine Learning Lec 28/30 [Urdu]
(0:00) Face recognition intro (4:40) One-shot learning (9:58) Siamese Network (14:00) Triplet loss (26:42) Face verification and binary classification (33:04) Neural style transfer (35:15) What are deep ConvNets learning (50:13) Neural style transfer cost function (52:19) Content cost function (54:16) Style cost function (1:04:52) 1D and 3D generalzation of models Complete playlist: https://www.youtube.com/watch?v=qUILAy-I204&list=PLoVsjlwzzlUT74osi5McUu7H80L6X6nzB Course Material (Slides/Assignments): https://tinyurl.com/ml-renzym SUBSCRIBE! Also Enable Notifications by clicking bell button on channel page https://www.youtube.com/c/RenzymEducation?sub_confirmation=1
Face recognition/verification, FaceNet, DeepFace, Style transfer, Machine Learning Lec 27/30 [Urdu]
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Cover for Renzym
2,077
Renzym

Renzym

Renzym is a technology company which primarily deals in the design and development of smart phone apps, wireless communication and embedded systems.

Renzym

4 years ago

Renzym
Renzym is looking for suitable candidates for the FPGA/SoC Developer position at its Islamabad office.The candidate should be good in Verilog/VHDL RTL based FPGA design. Exposure to Xilinx Vivado based hardware design and C-language programming is a plus. The hired person will work on the implementation of IP blocks and their integration on SoC/FPGA devices. Interested candidates can send their CVs to jobs@renzym.com with job title in the email’s subject. Only short-listed candidates will be contacted. The hired persons will get an opportunity to learn and work on leading-edge technologies under the guidance of an experienced team. ... See MoreSee Less
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Renzym

4 years ago

Renzym
Renzym is looking for a suitable candidate for the Algorithms Developer position at its Islamabad office.The candidate should have BS or MS degree with a good background in digital communication and signal processing. Hands-on implementation of algorithms in MATLAB is a plus. The hired person will work on communication and radar waveforms.Interested candidates can send their CVs to jobs@renzym.com with job title in the email’s subject. Only short-listed candidates will be contacted. The hired persons will get an opportunity to learn and work on leading-edge technologies under the guidance of an experienced team. ... See MoreSee Less
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Renzym

4 years ago

Renzym
Renzym is looking for a suitable candidate for the position of Embedded Systems Software Developer at its Islamabad office.The candidate should be sound in C language programming and embedded systems concepts. Hands-on working on microcontrollers, DSP/FPGAs is a plus. The hired person will work on system-level embedded applications.Interested candidates can send their CVs to [Email hidden] with job title in the email’s subject. Only short-listed candidates will be contacted. The hired persons will get an opportunity to learn and work on leading-edge technologies under the guidance of an experienced team. ... See MoreSee Less
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Renzym

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Renzym
This video demonstrates a proof-of-concept wireless video link transmitting two Full HD (i.e. 1920x1080) videos in parallel. Video compression & the transmitter waveform is implemented on one FPGA, while the receiver waveform & the video decompression is implemented on the other FPGA. Being software-defined, the system is configurable e.g. number of video sources (and video resolution) can be increased/decreased to suit number of cameras and bandwidth requirements.Please share with people who might be interested in such a system.info@renzym.com | +92518356095 | www.renzym.com ... See MoreSee Less

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Renzym

5 years ago

Renzym
Renzym is looking for suitable candidates for the following vacant positions at its Islamabad office. Interested candidates can send their CVs to jobs@renzym.com. Only short-listed candidates will be contacted.FPGA/SOC DESIGN ENGINEER------------------------------------Responsibilities:Design modules and subsystems, code RTL in Verilog /VHDL, build system prototypes and/or technology demonstrators to explore new ideasMinimum qualifications:BS or MS, Experience in Xilinx Vivado/SDSoC or Intel Quartus, Experience Zynq/Microblaze based HW/SW mixed designFollowing qualifications will be a plus:2-4 years’ experience, C/C++, MATLAB/Simulink, Experience with commonly used FPGA IP cores (FFT, Error correction, Video Compression)ALGORITHMS DESIGN ENGINEER--------------------------------------------Responsibilities:Implement application-specific algorithms for communications, radar and/or machine vision. Design and develop their MATLAB/Simulink system-level models and their documentationMinimum qualifications:BS or MS, Solid background in communication theory and digital signal processing, Strong coding and programming skills (MATLAB/Simulink, Python), Good written and verbal communications skillsSome of the following qualifications will be a plus to above:3-5 years’ experience, Exposure to radar signal processing and tracking algorithms, adaptive signal processing waveform synthesis, error correction codes, C/C++ coding and programming skills, Exposure to development in GNU RadioEMBEDDED SOFTWARE DESIGN ENGINEER----------------------------------------------------------Responsibilities:Design, create and maintain system-level applications comprising hardware, software, and documentation for our products. Write wrappers around commonly available open-source and proprietary toolsMinimum qualifications:BS, Solid background in C/C++, Python, MATLAB, Experience with SCM (SVN, Git), cross compiler and in-circuit debugging toolsSome of the following qualifications will be a plus to above:2-3 years’ experience, Experience in code conversion from MATLAB/Python to C/C++ and fixed-point implementation, in writing C-code (not C++) for DSPs, Microcontrollers, ARM processors ... See MoreSee Less
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Renzym

7 years ago

Renzym
Chatter.pk - One App to follow your favorite political partyTired of irrelevant tweets/facebook posts? Follow your favorite political parties under one Android App. Election 2018 fever is starting.play.google.com/store/apps/details?id=com.renzym.electionsMore Apps from RenzymSCANX: A document scanner for iOSitunes.apple.com/us/app/scanx-pdf-document-scanner-with-ocr/id1123617187?mt=8Scan & Scribe: OCR App for Android and iOSAndroid: play.google.com/store/apps/details?id=com.renzym.scanscribeiOS: itunes.apple.com/us/app/scan-scribe/id1003178723?mt=8 ... See MoreSee Less

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