MCU/MPU:Microcontrollers &Processors

Technical Archives

Implementing a simple electronics safe design (09/08/10)
Development tools key to SoC implementation (04/08/10)
MCUs improve glucometer accuracy, efficiency (16/07/10)
Performing internal inspection in MEMS devices (05/07/10)
Configuring digital, analogue components into the PSoC 3 device (17/06/10)
How to improve embedded MCU performance (15/06/10)
Cookbook for avoiding MCU software losses (10/06/10)
Towards cost-effective SoC-based network appliances (31/05/10)
Building a unified control environment (21/05/10)
Migrating from 8-, 16- to 32bit microcontrollers (20/05/10)
Using a West Bridge to integrate High Speed USB (14/05/10)
Developing energy-sensitive apps (07/05/10)
FPGAs reduce MPU power consumption (22/04/10)
Will 2010 be multi-core SoC's year? (15/04/10)
How MCUs can extend ADC resolution/accuracy (26/03/10)

More Microcontrollers &Processors Technical Archives

Application Notes

Using a 9bit software UART with Stellaris microcontrollers (03/09/10)
Supporting new toolchains with Freescale MQX RTOS (02/09/10)
U-Boot for i.MX51-based designs (01/09/10)
Developing an application for the i.MX devices on the Linux platform (31/08/10)
Class B safety software library for PIC MCUs and dsPIC DSCs (18/08/10)
In-circuit programming for the MAX16065-MAX16068 and MAX16070/MAX16071 flash-programmable system managers (16/08/10)
78Q8430 ARM9(920T) Linux driver diagnostic guide (13/08/10)
Wake up and hear the IR (05/08/10)
How to build a simple, interactive digital voltmeter (03/08/10)
KEELOQ microcontroller-based transmitter with acknowledge (02/08/10)
Power consumption for common TMS320DM355 application usage scenarios (29/07/10)
How to interface and drive a 3V or 5V LCD glass with MC9S08GW64 (26/07/10)
Enabling the IRTC module (23/07/10)
U-Boot for i.MX35-based designs (19/07/10)
ADC16 calibration procedure and programmable delay block synchronisation for MC9S08LGW64 (13/07/10)

More Microcontrollers &Processors Application Notes

eeUniversity

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Lecture 1
Introduction to Artificial Intelligence

Lecture 2
Intelligent Agents

Lecture 3
State Space Search

Lecture 4
Uninformed Search

Lecture 5
Informed Search

Lecture 6
Informed Search - 2

Lecture 7
Two Players Games - I

Lecture 8
Two Players Games - II

Lecture 9
Constraint Satisfaction Problems - 1

Lecture 10
Constraint Satisfaction Problems 2

Lecture 11
Knowledge Representation and Logic

Lecture 12
Interface in Propositional Logic

Lecture 13
First Order Logic

Lecture 14
Reasoning Using First Order Logic

Lecture 15
Resolution in FOPL

Lecture 18
Semantic Net

Lecture 19
Reasoning in Semantic Net

Lecture 20
Frames

Lecture 21
Planning - 1

Lecture 22
Planning - 2

Lecture 33
Introduction to Learning - II

Lecture 34
Rule Induction and Decision Trees - I

Lecture 35
Rule Induction and Decision Trees - II

Lecture 36
Leavning Using neural Networks - I

Lecture 37
Learning Using Neural Networks - II

Lecture 38
Probabilistic Learning

Lecture 39
Natural Language Processing - I

Lecture 40
Natural Language Processing II

Lecture 1
Introduction to Artificial Intelligence

Lecture 2
Problem Solving by Search

Lecture 3
Searching with Costs

Lecture 4
Informed State Space Search

Lecture 5
Heuristic Search: A* and Beyond

Lecture 6
Problem Reduction Search: AND/OR Graphs

Lecture 7
Searching Game Trees

Lecture 8
Knowledge Based Systems: Logic and Deduction

Lecture 9
First Order Logic

Lecture 10
Inference in First Order Logic

Lecture 11
Resolution - Refutation Proofs

Lecture 12
Resolution Refutation Proofs

Lecture 13
Logic Programming : Prolog

Lecture 14
Prolog Programming

Lecture 15
Prolog: Exercising Control

Lecture 16
Additional Topics

Lecture 17
Introduction to Planning

Lecture 18
Partial Order Planning

Lecture 19
GraphPLAN and SATPlan

Lecture 20
SATPlan

Lecture 21
Reasoning Under Uncertainity

Lecture 22
Bayesian Networks

Lecture 23
Reasoning with Bayes Networks

Lecture 24
Reasoning with Bayes Networks (Contd.)

Lecture 25
Reasoning Under Uncertainity: Issues

Lecture 26
Learning : Decision Trees

Lecture 27
Learning : Neural Networks

Lecture 28
Back Propagation Learning

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Lecture 47
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