Interpolation Basics

Neil Robertson

This article covers interpolation basics, and provides a numerical example of interpolation of a time signal. Figure 1 illustrates what we mean by interpolation. The top plot shows a continuous time signal, and the middle plot shows a sampled version with sample time Ts. The goal of interpolation is to increase the sample rate such that the new (interpolated) sample values are close to the values of the continuous signal at the sample times [1]. For example, if we increase the sample rate by the integer factor of four, the interpolated signal is as shown in the bottom plot. The time between samples has been decreased from Ts to Ts/4.

Round-robin or RTOS for my embedded system

Manuel Herrera

First of all, I would like to introduce myself. I am Manuel Herrera. I am starting to write blogs about the situations that I have faced over the years of my career and discussed with colleagues.To begin, I would like to open a conversation...

Somewhat Off Topic: Deciphering Transistor Terminology

Rick Lyons

I recently learned something mildly interesting about transistors, so I thought I'd share my new knowledge with you folks. Figure 1 shows a p-n-p transistor comprising a small block of n-type semiconductor sandwiched between two blocks of p-type...

DSP Jobs Soaring | Ready Your Interview Skills

Strategic Search Corporation

Digital Signal Processing (DSP) technology is the cornerstone of most cutting edge technology today. For example, digital signal processing drives much of machine learning in artificial intelligence (AI). It also steers eyesight and movement...

Generating Partially Correlated Random Variables

Harry Commin

IntroductionIt is often useful to be able to generate two or more signals with specific cross-correlations. Or, more generally, we would like to specify an $\left(N \times N\right)$ covariance matrix, $\mathbf{R}_{xx}$, and generate $N$ signals...

Stereophonic Amplitude-Panning: A Derivation of the "Tangent Law"

Rick Lyons

This article presents a derivation of the "Tangent Law"

A Brief Introduction To Romberg Integration

Rick Lyons

This article briefly describes a remarkable integration algorithm, called "Romberg integration." The algorithm is used in the field of numerical analysis but it's not so well-known in the world of DSP.

Evaluate Window Functions for the Discrete Fourier Transform

Neil Robertson

The Discrete Fourier Transform (DFT) operates on a finite length time sequence to compute its spectrum.  For a continuous signal like a sinewave, you need to capture a segment of the signal in order to perform the DFT.  Usually, you...

Feedback Controllers - Making Hardware with Firmware. Part 10. DSP/FPGAs Behaving Irrationally

Steve Maslen

This article will look at a design approach for feedback controllers featuring  low-latency "irrational" characteristics to enable the creation of physical components such as transmission lines. Some thought will also be given as to...

An IIR 'DC Removal' Filter

Rick Lyons

It seems to me that DC removal filters (also called "DC blocking filters") have been of some moderate interest recently on the dsprelated.com Forum web page. With that notion in mind I thought I'd post a little information, from Chapter 13 of my "Understanding DSP" book, regarding infinite impulse response (IIR) DC removal filters.