給定兩個集合A、B，集合內的任一元素x滿足1 ≤ x ≤ 109，并且每個集合的元素個數不大于105。我們希望求出A、B之間的關系。
任 務 ：給定兩個集合的描述，判斷它們滿足下列關系的哪一種：
A是B的一個真子集，輸出“A is a proper subset of B”
B是A的一個真子集，輸出“B is a proper subset of A”
A和B是同一個集合，輸出“A equals B”
A和B的交集為空，輸出“A and B are disjoint”
上述情況都不是，輸出“I m confused!”
The Window Design Method
The basic idea behind the design of linear-phase FIR filters using the window
method is to choose a proper ideal frequency-selective filter [which always has
a noncausal, infinite duration impulse response] and then truncate its impulse
response hd[n] to obtain a linear-phase and causal FIR filter h[n]. To truncate the
impulse response of the ideal filter a time window w[n] is used. Available windows
in Matlab are rectangular [or boxcar in Matlab], bartlett, hamming, hanning
The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.
-The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. Mutual Information is the similarity measure used in this case for optimizing the two images. This method requires estimating joint histogram of the two images. The fusion of images is the process of combining two or more images into a single image retaining important features from each. The Discrete Wavelet Transform (DWT) has become an attractive tool for fusing multimodal images. In this work it has been used to segment the features of the input images to produce a region map. Features of each region are calculated and a region based approach is used to fuse the images in the wavelet domain.
/*
* tesswind.c
* This program demonstrates the winding rule polygon
* tessellation property. Four tessellated objects are drawn,
* each with very different contours. When the w key is pressed,
* the objects are drawn with a different winding rule.
*/
Radio frequency (RF) power amplifiers are used in everyday life for many applica-
tions including cellular phones, magnetic resonance imaging, semiconductor wafer
processing for chip manufacturing, etc. Therefore, the design and performance of
RF amplifiers carry great importance for the proper functionality of these devices.
Furthermore, several industrial and military applications require low-profile yet
high-powered and efficient power amplifiers.
Due to the asymmetry between the amount of data traffic in the downlink and
uplink direction of nowadays and future wireless networks, a proper design of the
transceivers in the broadcast channel is inevitable in order to satisfy the users’
demands on data rate and transmission quality. This book deals with the optimi-
zation-based joint design of the transmit and receive filters in a MIMO broadcast
channel in which the user terminals may be equipped with several antenna ele-
ments.
A power semiconductor module is basically a power circuit of different
materials assembled together using hybrid technology, such as semiconduc-
tor chip attachment, wire bonding, encapsulation, etc. The materials
involved cover a wide range from insulators, conductors, and semiconduc-
tors to organics and inorganics. Since these materials all behave differently
under various environmental, electrical, and thermal stresses, proper selec-
tion of these materials and the assembly processes are critical. In-depth
knowledge of the material properties and the processing techniques is there-
fore required to build a high-performance and highly reliable power module.
The term “ smart grid ” defi nes a self - healing network equipped with dynamic optimiza-
tion techniques that use real - time measurements to minimize network losses, maintain
voltage levels, increase reliability, and improve asset management. The operational data
collected by the smart grid and its sub - systems will allow system operators to rapidly
identify the best strategy to secure against attacks, vulnerability, and so on, caused by
various contingencies. However, the smart grid fi rst depends upon identifying and
researching key performance measures, designing and testing appropriate tools, and
developing the proper education curriculum to equip current and future personnel with
the knowledge and skills for deployment of this highly advanced system.
Modern power systems involve large amount of investment. An electric power
system comprises of generation, transmission, and distribution of electric energy.
Growth of power systems has led to very complex networks extended across large
areas. In such situations, the proper functioning of a modern power system is
heavily dependent upon the healthy operation of the transmission lines within it.
Transmission lines are used to transmit a huge amount of power over a long
distance. But as these lines are located in the open atmosphere, they are highly
affected by different types of abnormal conditions or faults.
