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Characterizing the Moog Filter

This is Part 3 of a series of articles about the Moog ladder filter. In this article, we'll define the characteristics of the Moog filter, including its properties.

October 23, 2019 by Sam Gallagher

Understanding Butterworth Filter Poles and Zeros

This article explores the Butterworth low-pass filter, also known as the maximally flat filter, from the perspective of its pole-zero diagram.

September 23, 2019 by Robert Keim

Restoring Digital Signals in Pass-Transistor Logic

This article takes a detailed look at the way in which pass-transistor logic degrades a signal and how this signal degradation can be remedied.

January 02, 2019 by Robert Keim

Implementing Sequential Circuitry with Pass-Transistor Logic

This article discusses the use of pass-transistor configurations in the design of gated latches.

December 31, 2018 by Robert Keim

Implementing Multiplexers with Pass-Transistor Logic

This article discusses the efficient multiplexers that can be created by using MOSFETs in a pass-transistor configuration.

December 27, 2018 by Robert Keim

Digital Design with Pass-Transistor Logic

This article presents efficient, pass-transistor-based implementations of important digital functionality.

December 26, 2018 by Robert Keim

Introduction to Pass-Transistor Logic

This article explores an alternative, and in some cases advantageous, approach to MOSFET-based implementation of digital logic functions.

December 17, 2018 by Robert Keim

Digital Signal Processing in Scilab: How to Remove Noise in Recordings with Audio Processing Filters

This article is an introduction to the complex topic of DSP-based reduction of noise in audio signals.

September 19, 2018 by Robert Keim

How to Perform Frequency-Domain Analysis with Scilab

In this article we’ll work with sinusoidal signals in the frequency domain using Scilab’s fast Fourier transform (FFT) functionality.

September 04, 2018 by Robert Keim

Introduction to Sinusoidal Signal Processing with Scilab

This article discusses basic signal-processing tasks that can be performed using a free and open source alternative to MATLAB.

August 30, 2018 by Robert Keim

Resolving the Signal Part 5: Understanding Effective Noise Bandwidth in Precision Delta-Sigma ADCs

Part 5 of this 12-part series continues to explore effective noise bandwidth as it relates to delta-sigma ADCs and system-level design by stepping through a simple example using a two-stage filter to understand how to calculate the ENBW and how system changes affect the ENBW.

May 22, 2018 by Bryan Lizon, Texas Instruments

Considerations for FPGA Implementation of Linear-Phase FIR Filters

This article will review considerations for efficient FPGA implementation of symmetric FIR filters.

May 17, 2018 by Steve Arar

Resolving the Signal Part 4: Understanding Effective Noise Bandwidth in Precision Delta-Sigma ADCs

Part 4 of this “Resolving the Signal” article series covers noise in delta-sigma ADCs focuses on understanding basic effective noise bandwidth (ENBW) topics.

April 11, 2018 by Bryan Lizon, Texas Instruments

Structures for Implementing Finite Impulse Response Filters

This article will review some basic structures to implement Finite Impulse Response (FIR) filters.

October 04, 2017 by Steve Arar

Design of FIR Filters Using the Frequency Sampling Method

This article will review the basics of the frequency sampling method for designing FIR filters.

September 29, 2017 by Steve Arar

Implementing a Low-Pass Filter on FPGA with Verilog

Learn how to implement a moving average filter and optimize it with CIC architecture.

July 13, 2017 by Mohammad Amin Karami

FIR Filter Design by Windowing: Concepts and the Rectangular Window

In this article, we'll review the basic concepts in digital filter design. We'll also briefly discuss the advantages of FIR filters over IIR designs, e.g. stability and linear-phase response. Finally, we'll go over an introduction to designing FIR filters via the window method.

May 12, 2016 by Steve Arar

An Introduction to Digital Signal Processing

This article will cover the basics of Digital Signal Processing to lead up to a series of articles on statistics and probability used to characterize signals, Analog-to-Digital Conversion (ADC) and Digital-to-Analog Conversion (DAC), and concluding with Digital Signal Processing software. Digital Signal Processing is the mathematical manipulation of an information signal, such as audio, temperature, voice, and video and modify or improve them in some manner.

September 13, 2015 by Donald Krambeck