This designs demonstrates how to use the Ethernet port using a Nios II system on the DE2 board. It sends packets, and using a loopback Ethernet cable, it ll receive the same packets which are then displayed. It also works if the board is connected to another packet source.
WAP browser is based on the Wireless Application Protocol web browser, WAP1.3 will enable mobile phones and other devices connected to the Internet, browse the Internet website.
The Inter IC bus or I2C bus is a simple bidirectional two wire bus designed primarily for general control
and data transfer communication between ICs.
Some of the features of the I2C bus are:
• Two signal lines, a serial data line (SDA) and a serial clock line (SCL), and ground are required. A
...
ST32
基于（英蓓特）STM32V100的EXTI程序
This example shows how to configure an external interrupt line.
In this example, the EXTI line 9 is configured to generate an interrupt on each
falling edge. In the interrupt routine a led connected to PC.06 is toggled.
This led will be toggled due to the softa ...
The ADC0803 family is a series of three CMOS 8-bit successive
approximation A/D converters using a resistive ladder and
capacitive array together with an auto-zero comparator. These
converters are designed to operate with microprocessor-controlled
buses using a minimum of external circuitry. The 3-S ...
15篇光流配准经典文献，目录如下：
1、A Local Approach for Robust Optical Flow Estimation under Varying
2、A New Method for Computing Optical Flow
3、Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms
4、all about direct methods
5、An Introduction to OpenCV and Optical Flow
6、Bayesian Real ...
neural network utility is a Neural Networks library for the
C++ Programmer. It is entirely object oriented and focuses
on reducing tedious and confusing problems of programming neural networks.
By this I mean that network layers are easily defined. An
entire multi-layer network can be created in a f ...
％ Train a two layer neural network with the Levenberg-Marquardt
％ method.
％
％ If desired, it is possible to use regularization by
％ weight decay. Also pruned (ie. not fully connected) networks can
％ be trained.
％
％ Given a set of corresponding input-output pairs and an initial
％ network,
％ ...
Train a two layer neural network with a recursive prediction error
％ algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully
％ connected) networks can be trained.
％
％ The activation functions can either be linear or tanh. The network
％ architecture is defined by the matrix NetDef , w ...
