Table of Contents

No	Authors	Title	Source	Summary of reported research	Strength of reported invention	Weaknes of reported invention
1.	- Demin Wang - Liang Zhang - Andre Vincent	Motion-Compensated Frame Rate Up-Conversion – Part I : Fast Multi-Frame Motion Estimation	IEEE Transaction on Broadcasting	This paper make a new idea in topic frame rate up-conversion (FRUC) with new method, that never been used before	-  It improve the frame rates to a higher value, so the material can be displayed with smooth motion and high perceived quality	-   Not able to detect all occluded areas, thus, a more sophisticated algorithm may be needed to help further improve the performance of the proposed algorithm
2.	Siavash M. Alamouti	A simple transmit diversity technique for wireless communications	IEEE Journal Oct 1998	This  paper  presents  a  simple  two-branch  transmit diversity scheme. Using two transmit antennas and one receive antenna the scheme provides the same diversity order as maximal-ratio receiver combining (MRRC) with one transmit antenna, and  two  receive antennas.	-  the scheme may easily be generalized to two transmit antennas and M  receive antennas to provide a diversity order of 2M -  does not require any bandwidth expansion -  does not require any feedback from the receiver to the transmitter -  its computation complexity is similar to MRRC	-   If the system is radiation power limited, in order to have the same total radiated power from two  transmit antennas the  energy allocated to each symbol should be halved. This results in a 3-dB penalty in  the  error  performance -   For the two-branch diversity scheme, the delay is two symbol periods if using same carrier frequency -   To provide sufficient decorrelation : a.     At the base station receiver, antenna must be on the order of ten wavelengths apart b.    At the remote station, antenna must be on the order of three wavelengths apart
3.	Ralph O. Schmidt	Multiple Emitter Location and Signal Parameter Estimation	IEEE Journal March 1986	The approach presented here for multiple signal classifica­ tion is very general and of wide application. The method is interpretable in terms of the geometry of complex M spaces wherein the eigenstructure of the measured S matrix plays the central role.	A  description   is  given  of  the  multiple  signal  classification   (MUSIC) algorithm,    which   provides   asymptotically    unbiased   estimates   of    1) number of incident wavefronts  present; 2) directions of arrival (DOA) (or emitter locations);   3) strengths  and cross correlations  among the incident waveforms;   4) noise/interference    strength.	No assumptions have been made about array geometry. The array  elements  may be  arranged  in  a  regular  or  irregular pattern and may differ or be identical in directional character-istics (amplitude/phase) provided their polarization character-istics are all identical.
4	Olusegun A. Aboaba	A Review of Signal Parameter Estimation Techniques	AASCIT Communications; February 20, 2015	In signal analysis, the signals to be detected usually contain unknown parameters such as amplitude, time delay, phase, and frequency; these parameters must be estimated prior to the signal detection. The techniques used to estimate these signal parameters can be broadly classified into two main categories known as parametric and non-parametric methods. This paper presents a review of these signal parameter estimation techniques.	This paper compare all of the estimation methods and has a summary of the advantages and disadvantages of these signal parameter estimation methods.	Only comparing all of te estimation method. This paper not give the best method of estimation calculation.