Modern Signal Processing
Hyperbolic Geometry, Nehari's Theorem, Electric Circuits, and Analog Signal Processing, Diffuse Tomography as a Source of Challenging Nonlinear Inverse Problems, Sampling of Functions and Sections for Compact Groups

Introduction to Machine Learning
Boolean Functions, Using Version Spaces for Learning, Neural Networks, Statistical Learning, Decision Trees etc.

Exploring RANDOMNESS
This essential companion volume to Chaitin's highly successful books of The Limits of Mathematics.

Heat Transfer Book (PDF)
Register on this site to download the free pdf books.

Fundamentals of Compressible Flow
The book contain chapters on Isentropic Flow, Isothermal Nozzle, Shock wave and Oblique shocks, and Prandtl-Meyer flow as well chapters on Isothermal Flow, Fanno Flow, and Rayleigh Flow.

Primer on Molecular Genetics
The Mathematics of NMR, Spin Physics, NMR Spectroscopy, Fourier Transforms, Pulse Sequences, NMR Hardware.

Lessons In Electric Circuits
A free series of textbooks on the subjects of electricity and electronics

Mathematical Tools for Physics
Infinite Series, Complex Algebra, Complex Algebra, Fourier Series, Vector Spaces, Numerical Analysis, Complex Variables.

Programming Tips for Engineers
Programming resource for engineers.

Guide to Digital Signal Processing
Digital Filters, Apllications, Complex Techniques

The Art of Assembly Language Programming
The Art of Assembly Language Programming (AoA), Randy Hyde's acclaimed text on assembly language programming, is the most-often recommended book on 80x86 assembly language programming in newsgroups, on web sites, and by word of mouth.

Machine Learning, Neural and Statistical Classification
Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks, Dataset Descriptions and Results

Tutorial on Fuzzy Logic
A logic based on the two truth values 0 - false and 1 - true is sometimes inadequate when describing human reasoning. As a result, fuzzy logic is being applied in rule based automatic controllers, and this paper is part of a course for control engineers.

Tuning Of Fuzzy PID Controllers
Fuzzy controllers are nonlinear, it is more difficult to set the controller gains compared to proportional-integral-derivative (PID) controllers. This research paper proposes a design procedure and a tuning procedure that carries tuning rules from the PID domain over to fuzzy single-loop controllers.

Introduction To Perceptron Networks
Expensive to model a plant using the basic laws of physics, a neural network approach can be an alternative. From a control engineer’s viewpoint a two layer perceptron network is sufficient. It is indicated how to model a dynamic plant using a perceptron network.