Blog Post
Transforms for Video Compression, Part 1: Vectors, the Dot Product and Orthonormal Bases
Discover the power of transforms in video compression. Part 1 explains vectors, dot products, and orthonormal bases—essential for understanding advanced compression algorithms. Ready to transform your approach?
Blog Post
The Basics of 3D Image Acquisition
One of our clients is heavily involved in 3D video and has been for several years. However, several are just now starting to think about it because of the uptick of interest in the consumer electronics world. Enough questions have been posed to us recently that it seemed worthwhile to me to pull together a... View Article
Blog Post
Delta Sigma Converters: Filtering, Decimation and Simulations
In my first post on ΔΣ converters I presented an intuitive way to derive the modulator portion of the converter. Now we need to look at what comes after the modulator — namely, the digital filter and the decimator. The high-level structure of the converter looks like this: The analog input voltage, v(t), is assumed... View Article
Discover the power of transforms in video compression. Part 1 explains vectors, dot products, and orthonormal bases—essential for understanding advanced compression algorithms. Ready to transform your approach?
One of our clients is heavily involved in 3D video and has been for several years. However, several are just now starting to think about it because of the uptick of interest in the consumer electronics world. Enough questions have been posed to us recently that it seemed worthwhile to me to pull together a... View Article
In my first post on ΔΣ converters I presented an intuitive way to derive the modulator portion of the converter. Now we need to look at what comes after the modulator — namely, the digital filter and the decimator. The high-level structure of the converter looks like this: The analog input voltage, v(t), is assumed... View Article
Blog Post
Delta Sigma Converters: Modulation
Discover the essence of Delta Sigma modulation with clear insights and a practical approach. Learn how to implement and understand this vital technology intuitively.
Blog Post
The Math Behind Analog Video Resolution
NTSC video signals remain vital for many applications due to their affordability and sufficient resolution for security needs. Learn why NTSC still matters today!
Blog Post
Detecting Well-Focused Images
Our expert discusses how to write a program to automatically determine which photo in a group of pictures of the same scene is in the best focus. The trick is to use a contrast measurement in the passive autofocus algorithm.
Discover the essence of Delta Sigma modulation with clear insights and a practical approach. Learn how to implement and understand this vital technology intuitively.
NTSC video signals remain vital for many applications due to their affordability and sufficient resolution for security needs. Learn why NTSC still matters today!
Our expert discusses how to write a program to automatically determine which photo in a group of pictures of the same scene is in the best focus. The trick is to use a contrast measurement in the passive autofocus algorithm.
Blog Post
Noise Floor
As shown in a previous post, for samples taken from a zero mean i.i.d noise signal, the expected power of the k’th DFT coefficient is given by As discussed in that post, when plotting the power of the k’th coefficient as a function of frequency, the “noise floor” will decrease as N increases... View Article
Blog Post
IACP Product Introduction
I just spent the last three days at the IACP show in Denver — the annual conference and expo for the International Association of Chiefs of Police. For anyone who was once a 12-year-old boy, IACP is about as cool as it comes because there are all sorts of cop paraphernalia on display — from... View Article
Blog Post
Power Measurements With the DFT
Many of the systems we work on here at Cardinal Peak employ analog-to-digital conversion in one form or another. It seems like almost invariably some analog signal needs to be digitized or “sampled.” Sampling is the process of periodically looking at an analog signal at some sample rate, and then converting each measured value into... View Article
As shown in a previous post, for samples taken from a zero mean i.i.d noise signal, the expected power of the k’th DFT coefficient is given by As discussed in that post, when plotting the power of the k’th coefficient as a function of frequency, the “noise floor” will decrease as N increases... View Article
I just spent the last three days at the IACP show in Denver — the annual conference and expo for the International Association of Chiefs of Police. For anyone who was once a 12-year-old boy, IACP is about as cool as it comes because there are all sorts of cop paraphernalia on display — from... View Article
Many of the systems we work on here at Cardinal Peak employ analog-to-digital conversion in one form or another. It seems like almost invariably some analog signal needs to be digitized or “sampled.” Sampling is the process of periodically looking at an analog signal at some sample rate, and then converting each measured value into... View Article