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Feedback Controllers - Making Hardware with Firmware. Part 3. Sampled Data Aspects

Steve MaslenSteve Maslen September 9, 2017

This article digs into practical sampled-data issues you must address when building feedback controllers for circuit emulation. It highlights a common MATLAB versus Simulink discrepancy caused by DAC holding, explains why FOH (ramp-invariant) c2d conversion matters, and surveys latency, bit depth, filter and precision trade-offs. It also lists candidate ADCs, DACs and FPGAs used in a real evaluation platform to guide hardware choices.


Finally got a drone!

Stephane BoucherStephane Boucher August 28, 20172 comments

Stephane Boucher finally bought a DJI Phantom 4 and found it does more than boost his video production value, it’s also hugely fun to fly. He used the drone for an aerial shot at SEGGER’s anniversary and for a beach project where kids drew a turtle while a separate camera captured a side timelapse. The post highlights creative shot combinations and a reminder to fly where it is legal.


Feedback Controllers - Making Hardware with Firmware. Part 2. Ideal Model Examples

Steve MaslenSteve Maslen August 24, 2017

An engineer's guide to building ideal continuous-time models for hardware emulation, using TINA Spice, MATLAB and Simulink to validate controller and circuit behavior. The article shows how a passive R-C network can be emulated by an amplifier, a current measurement and a summer, with Spice, MATLAB and Simulink producing coincident Bode responses. Small phase differences between MATLAB and Simulink are noted, and sampled-data issues are slated for the next installment.


Feedback Controllers - Making Hardware with Firmware. Part I. Introduction

Steve MaslenSteve Maslen August 22, 2017

This first post kicks off a series on using DSP and feedback control with mixed-signal electronics and FPGAs to emulate two-terminal circuits and create low latency controllers. It frames circuit emulation as a feedback problem, highlights latency as the key practical constraint, and outlines the planned evaluation hardware, target devices, and software tools that will be used in later MATLAB/Simulink and FPGA work.


SEGGER's 25th Anniversary Video

Stephane BoucherStephane Boucher July 18, 20172 comments

Stephane Boucher spent a week at SEGGER's headquarters and distilled that visit into a tight, two-minute 25th anniversary video. The post highlights rising production value, thanks to softbox lighting and a two-camera setup that allows seamless wide-to-tight cuts and emotional close-ups. Stephane invites readers to watch full screen, leave feedback and thumbs-up on YouTube, and suggests future coverage like product launches or companies with happy engineers.


Linear Feedback Shift Registers for the Uninitiated, Part II: libgf2 and Primitive Polynomials

Jason SachsJason Sachs July 17, 2017

Jason Sachs digs into practical finite-field arithmetic for LFSRs, using his libgf2 Python library as the hands-on guide. He shows how to test whether a polynomial is primitive, why that matters for maximal-length sequences, and how the library implements addition, multiplication, exponentiation, and shifts over GF(2). The post is both a math refresher and a code walkthrough for engineers who want to compute with LFSRs instead of just talk about them.


Went 280km/h (174mph) in a Porsche Panamera in Germany!

Stephane BoucherStephane Boucher July 10, 201712 comments

A week at SEGGER’s headquarters in Germany turned into more than a video shoot, it became a look inside a company that clearly runs on passion, trust, and a lot of teamwork. Stephane Boucher also gets an unforgettable autobahn ride in a Porsche Panamera, hitting 280 km/h along the way. Between interviews, B-roll, and a 25th anniversary celebration, he comes away impressed by both the people and the pace.


Linear Feedback Shift Registers for the Uninitiated, Part I: Ex-Pralite Monks and Finite Fields

Jason SachsJason Sachs July 3, 20176 comments

Jason Sachs demystifies linear feedback shift registers with a practical, bitwise view and the algebra that explains why they work. Readable examples compare Fibonacci and Galois implementations, show a simple software implementation, and reveal the correspondence between N-bit Galois LFSRs and GF(2^N) so you can pick taps and reason about maximal-length pseudorandom sequences.


Going back to Germany!

Stephane BoucherStephane Boucher June 13, 20176 comments

A conference conversation turned into a return trip to Germany for Stephane Boucher, this time to visit SEGGER’s headquarters in Dusseldorf and produce videos. The post shares how a chance introduction at ESC Boston led to the invitation, and it teases coverage from SEGGER’s 25th anniversary celebration. He also invites local tips and customer questions before the trip.


ESC Boston's Videos are Now Up

Stephane BoucherStephane Boucher June 5, 2017

Stephane Boucher shares the videos he produced from ESC Boston, including a short highlight montage, a booth video for DLOGIC, and full talk clips from the conference. He also reflects on what he learned shooting on the show floor, especially the challenge of getting engineers on camera. It’s a quick behind-the-scenes look at technical event videography, with a preview of his next stop in Germany.


Linear Feedback Shift Registers for the Uninitiated, Part II: libgf2 and Primitive Polynomials

Jason SachsJason Sachs July 17, 2017

Jason Sachs digs into practical finite-field arithmetic for LFSRs, using his libgf2 Python library as the hands-on guide. He shows how to test whether a polynomial is primitive, why that matters for maximal-length sequences, and how the library implements addition, multiplication, exponentiation, and shifts over GF(2). The post is both a math refresher and a code walkthrough for engineers who want to compute with LFSRs instead of just talk about them.


Square root in fixed point VHDL

Jari HonkanenJari Honkanen October 10, 20231 comment

In this blog we will design and implement a fixed point square root function in VHDL. The algorithm is based on the recursive Newton Raphson inverse square root algorithm and the implementation offers parametrizable pipeline depth, word length and the algorithm is built with VHDL records and procedures for easy use.


Inside the Spartan-6: Using LUTs to optimize circuits

Victor YurkovskyVictor Yurkovsky June 24, 20153 comments

Victor Yurkovsky hit poor synthesis packing while building a J1 CPU on Spartan-6 and traced the problem to an 18-bit logic ALU that mapped to many slices. He demonstrates a practical fix: instantiate LUT6 primitives with carefully chosen INIT values, then use RLOC placement to stack the per-bit LUTs and collapse the design down to five slices. This is a hands-on guide to Xilinx-specific optimization when synthesis falls short.


StrangeCPU #3. Instruction Slides - The Strangest CPU Yet!

Victor YurkovskyVictor Yurkovsky March 18, 201311 comments

Victor Yurkovsky extends his sliding-window token machine idea to instruction decoding, showing how 8/9-bit tokens can index shared "Blue" memory as 32-bit literals, call targets, or decoded instructions. The approach makes instructions dynamic entries that slide with the window, enabling rare opcodes to be synthesized on demand and reducing fixed opcode bloat. He also covers the 0-bit window (the stack), FPGA BRAM tagging, and the latency trade-offs.


PC and SP for a small CPU

Victor YurkovskyVictor Yurkovsky July 23, 2013

Victor Yurkovsky walks through a compact stack-based CPU idea that tosses the conventional PC register in favor of a return stack living in Xilinx distributed RAM. The clever twist uses the stack memory addressed by SP as the program counter, making calls trivial and keeping the design tiny. The article shows the Verilog stack module and explains the practical tradeoffs of isolating the return stack.


Elliptic Curve Cryptography

Mike RosingMike Rosing November 16, 20156 comments

Secure online communications require encryption. One standard is AES (Advanced Encryption Standard) from NIST. But for this to work, both sides need the same key for encryption and decryption. This is called Private Key encryption.


Spline interpolation

Markus NentwigMarkus Nentwig May 11, 20147 comments

Markus Nentwig provides a cookbook for segmented cubic spline interpolation that turns scattered or noisy data into efficient fixed-point functions. The article shows how to build third-order polynomial segments with explicit value and slope control via basis functions, solve scaling factors by least-squares in Octave/Matlab, and export coefficients for Verilog RTL evaluation using the Horner scheme and practical fixed-point tips.


Welcoming MANY New Bloggers!

Stephane BoucherStephane Boucher October 27, 20153 comments

A big influx of new voices just joined DSPRelated, and Stephane Boucher introduces the growing roster of contributors and their backgrounds. The post lists dozens of newly approved bloggers, highlights the range of DSP and embedded expertise they bring, and asks readers to leave constructive feedback on posts. It also explains why some applicants may not have been accepted yet and how to apply properly.


Data Types for Control & DSP

Tim WescottTim Wescott April 26, 20166 comments

Control engineers often default to double precision, but Tim Wescott shows that choice can waste CPU cycles on embedded targets. He separates numeric representation into floating point, integer, and fixed-point, then walks through the tradeoffs, including quantization, overflow, and performance. A concrete PID example highlights why integrator precision and ADC scaling should drive your choice of data type rather than habit.


Running Average

Mike RosingMike Rosing February 15, 20166 comments

This post shows a lightweight running average variant that cleans up noisy wheel-encoder timing using a shift-based divide-by-8 and a small rounding constant. The filter updates as M1 = M0 + (t0 - A0), where A0 is estimated from the previous average, so each new measurement nudges the estimate rather than immediately replacing it. It trades exact oldest-sample subtraction for low resource cost and strong noise suppression.