| 1. | Blind estimation of mpsk carrier frequency
信号载频盲估计 |
| 2. | The relationship between the scales at zero - cross areas and the mode of phase difference is developed
Mpsk信号的特征提取和分类一直是通信领域关注的焦点也是一个难点。 |
| 3. | Also , the general modulation schemes are thoroughly analyzed , such as mpsk , 16apsk , 16apm and 16qam
对lmds系统中用到的主要调制解调技术，比如mpsk 、 16apsk 、 16apm以及16qam做了深入的研究。 |
| 4. | This thesis deals with the synchronization technologies for all digital receiver , particularly carrier offset estimation for mpsk signal
本文研究全数字接收机中的同步技术，重点是mpsk信号的载波频偏和相位误差的估计和恢复算法。 |
| 5. | So that , beyond certain snr and with enough received data , theoretically , our classification algorithms can recognize digital communication signals with any modulation order
’ 4 spsk信号与mask 、 mqam和mpsk信号调制子类间的关系表明，可利用2 4 spsk信号分类算法实现不同调制子类间的识别。 |
| 6. | Moreover , new close - form ber expressions of mqam and mpsk in nakagami - / ? ? fading channel are derived , which include the known analytical results as a special case
本文还导出了nakagami - m衰落信道下mqam和mpsk调制方式新的误比特率表达式，该表达式可以使现有文献的分析结果西南交通大学博士研究生学位论文第v页成为其特例。 |
| 7. | The asymptotic performances of our algorithms are verified through theoretical analysis and / or computer simulations . according to the respective properties of different signal sub - set , we give recursive order - reducing classification algorithm
针对mpsk信号分类问题，讨论了分类算法的理论渐进性能，并通过大量的计算机仿真实验证实了分类算法的有效性。 |
| 8. | In chapter 4 , the hardware and software implemented results are shown . we simulated the fh - mpsk and fh - / 4dqpsk systems by matlab , and implement them on a texas instruments chip tms320c6416
第四章给出fh - mpsk和fh - 4dqpsk两系统的matlab仿真结果，说明用dsp实现这两个系统的软件开发流程，并在中频平台中实现了跳频8dpsk和4 - dqpsk系统，给出实测结果。 |
| 9. | The go sequences are applied to the high - order modulation qs - cdma systems , and for the mpsk and m - qam modulation scheme , the maximum allowable timing delays , the sir expressions and the bit - error - rate ( ber ) results are derived
作者将go序列用于高阶调制qs - cdma系统，获得了采用mpsk调第vll页西南交通大学博士研究生学位论文制和m一qam调制时系统最大允许时延限制条件以及s仅表达式。 |
| 10. | The new algorithms for classification of mpsk , mask and mqam signals using cumulant invariants are proposed in gaussian noise and ideal communication channel environment . the new classification features are blind to unknown snr and reference phase
提出了在高斯噪声和理想信道环境下，基于高阶累量不变量特征的mpsk 、 mask和mqam信号调制分类算法，新特征对信噪比和未知的参考相位参数是盲的。 |
