Abstract: With industrial/scientific/medical (ISM) band radio frequency (RF) products, often times users are new to the structure of Maxim's low pin-count transmitters andfully integrated superheterodyne receivers. This tutorial provides simple steps that can be taken to get the best performance out of these transmitters and receivers whileproviding techniques to Measure the overall capability of the design.
FISMAT accommodates different arithmetic operators, fuzzification and defuzzification algorithm, implication relations, and different method of approximate reasoning such as Compositional Rule of Inference (CRI) and Approximate Analogical Reasoning Scheme based on Similarity Measure.
This example program shows how to configure and use the A/D Converter of the following microcontroller:
STMicroelectronics ST10F166
After configuring the A/D, the program reads the A/D result and outputs the converted value using the serial port.
To run this program...
Build the project (Project Menu, Build Target)
Start the debugger (Debug Menu, Start/Stop Debug Session)
View the Serial Window (View Menu, Serial Window #1)
View the A/D converter peripheral (Peripheral Menu, A/D Converter)
Run the program (Debug Menu, Go)
A debug script (debug.ini) creates buttons that set different analog values in A/D channels. As the program runs, you will see the A/D input and output change.
Other buttons create signals that generate sine wave or sawtooth patterns as analog inputs. µ Vision3 users may enable the built-in Logic Analyzer to view, Measure and compare these input signals graphically.
This program demonstrates operation of ADC0 in polled mode. The ADC0 is
// configured to use writes to AD0BUSY as its start of conversion source and
// to Measure the output of the on-chip temperature sensor. The temperature
// sensor output is converted to degrees Celsius and is transmitted out UART0
This program demonstrates operation of ADC0 in polled mode. The ADC0 is
// configured to use writes to AD0BUSY as its start of conversion source and
// to Measure the output of the on-chip temperature sensor. The temperature
// sensor output is converted to degrees Celsius and is transmitted out UART0
The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute local flow,
global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit Measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences.
基于OFDM的無線寬帶系統仿真It contains mainly two parts, i.e. link-level simulator and system-level simulator.
Link-level simulator focus on a single-cell single-user scenario, where signal is transmitted from tx, and estimated at rx. Comparing the difference in tx/rx signal, the error rate can be found out. The output of the link-level simulator is the BLER/BER vs. SNR mapping table, that can be used for the system-level simulation.
System-level simulator focus on a multi-cell multi-user scenario. For the sake of simplicity, it takes the mapping table aquired in the link-level simulation, Measure the actural SNR, and finds the corresponding error rate.
The task of clustering Web sessions is to group Web sessions based on similarity and consists of maximizing the intra-
group similarity while minimizing the inter-group similarity．
The first and foremost question needed to be considered in clustering
W b sessions is how to Measure the similarity between Web
sessions．However．there are many shortcomings in traditiona1
Measurements．This paper introduces a new method for measuring
similarities between Web pages that takes into account not only the
URL but also the viewing time of the visited web page．Yhen we
give a new method to Measure the similarity of Web sessions using
sequence alignment and the similarity of W eb page access in detail
Experiments have proved that our method is valid and e幣cient．
